Development of an activity disease score in patients with uveitis (UVEDAI)

To develop a disease activity index for patients with uveitis (UVEDAI) encompassing the relevant domains of disease activity considered important among experts in this field. The steps for designing UVEDAI were: (a) Defining the construct and establishing the domains through a formal judgment of experts, (b) A two-round Delphi study with a panel of 15 experts to determine the relevant items, (c) Selection of items: A logistic regression model was developed that set ocular inflammatory activity as the dependent variable. The construct "uveitis inflammatory activity" was defined as any intraocular inflammation that included external structures (cornea) in addition to uvea. Seven domains and 15 items were identified: best-corrected visual acuity, inflammation of the anterior chamber (anterior chamber cells, hypopyon, the presence of fibrin, active posterior keratic precipitates and iris nodules), intraocular pressure, inflammation of the vitreous cavity (vitreous haze, snowballs and snowbanks), central macular edema, inflammation of the posterior pole (the presence and number of choroidal/retinal lesions, vascular inflammation and papillitis), and global assessment from both (patient and physician). From all the variables studied in the multivariate model, anterior chamber cell grade, vitreous haze, central macular edema, inflammatory vessel sheathing, papillitis, choroidal/retinal lesions and patient evaluation were included in UVEDAI. UVEDAI is an index designed to assess the global ocular inflammatory activity in patients with uveitis. It might prove worthwhile to motorize the activity of this extraarticular manifestation of some rheumatic diseases

Development of an activity disease score in patients with uveitis (UVEDAI)

To develop a disease activity index for patients with uveitis (UVEDAI) encompassing the relevant domains of disease activity considered important among experts in this field. The steps for designing UVEDAI were: (a) Defining the construct and establishing the domains through a formal judgment of experts, (b) A two-round Delphi study with a panel of 15 experts to determine the relevant items, (c) Selection of items: A logistic regression model was developed that set ocular inflammatory activity as the dependent variable. The construct "uveitis inflammatory activity" was defined as any intraocular inflammation that included external structures (cornea) in addition to uvea. Seven domains and 15 items were identified: best-corrected visual acuity, inflammation of the anterior chamber (anterior chamber cells, hypopyon, the presence of fibrin, active posterior keratic precipitates and iris nodules), intraocular pressure, inflammation of the vitreous cavity (vitreous haze, snowballs and snowbanks), central macular edema, inflammation of the posterior pole (the presence and number of choroidal/retinal lesions, vascular inflammation and papillitis), and global assessment from both (patient and physician). From all the variables studied in the multivariate model, anterior chamber cell grade, vitreous haze, central macular edema, inflammatory vessel sheathing, papillitis, choroidal/retinal lesions and patient evaluation were included in UVEDAI. UVEDAI is an index designed to assess the global ocular inflammatory activity in patients with uveitis. It might prove worthwhile to motorize the activity of this extraarticular manifestation of some rheumatic diseases

Adherence to nutrition-based cancer prevention guidelines and breast, prostate and colorectal cancer risk in the MCC-Spain case-control study

Prostate, breast and colorectal cancer are the most common tumours in Spain. The aim of the present study was to evaluate the association between adherence to nutrition-based guidelines for cancer prevention and prostate, breast and colorectal cancer, in the MCC-Spain case-control study. A total of 1,718 colorectal, 1,343 breast and 864 prostate cancer cases and 3,431 population-based controls recruited between 2007 and 2012, were included in the present study. The World Cancer Research Fund/American Institute for Cancer Research (WCRC/AICR) score based on six recommendations for cancer prevention (on body fatness, physical activity, foods and drinks that promote weight gain, plant foods, animal foods and alcoholic drinks; score range 0-6) was constructed. We used unconditional logistic regression analysis adjusting for potential confounders. One-point increment in the WCRF/AICR score was associated with 25% (95% CI 19-30%) lower risk of colorectal, and 15% (95% CI 7-22%) lower risk of breast cancer; no association with prostate cancer was detected, except for cases with a Gleason score ≥7 (poorly differentiated/undifferentiated tumours) (OR 0.87, 95% CI 0.76-0.99). These results add to the wealth of evidence indicating that a great proportion of common cancer cases could be avoided by adopting healthy lifestyle habits.This study was supported by Acción Transversal del Cancer and Instituto de Salud Carlos III-FEDER; Grant numbers: PI08/1770, PI08/0533, PI08/1359, PS09/00773, PS09/01286, PS09/01903, PS09/02078, PS09/01662, PI11/01403, PI11/01889, PI11/00226, PI11/01810, PI11/02213, PI12/ 00488, PI12/00265, PI12/01270, PI12/00715, PI12/00150; Grant sponsor: Fundación Marqués de Valdecilla; Grant number: API 10/09; Grant sponsors: ICGC International Cancer Genome Consortium CLL and Junta de Castilla y León; Grant number: LE22A10-2; Grant sponsor: Consejería de Salud of the Junta de Andalucía; Grant number: PI-0571; Grant sponsor: Conselleria de Sanitat of the Generalitat Valenciana; Grant number: AP 061/10; Grant sponsor: Recercaixa; Grant number: 2010ACUP 00310; Grant sponsors: Regional Government of the Basque Country and European Commission; Grant number: FOOD-CT-2006–036224-HIWATE; Grant sponsors: Spanish Association Against Cancer (AECC) Scientific Foundation and The Catalan Government DURSI Grant; Grant number: 2009SGR1489; Grant sponsors: Ministerio de Economía y Competitividad, Spain and European Regional Development Fund; Grant number: RYC-2011–0879

Association of WCRF/AICR score and individual recommendations with breast cancer risk by menopausal status.

<p>¹ Adjusted for total calorie intake, smoking habit, age at first delivery, education, history of breast problems, family history of BC and menopausal status.</p><p>²</p><p></p><p></p><p></p><p></p><p><mi>P</mi><mi>A</mi><mi>F</mi><mo>=</mo></p><p></p><p><mo stretchy="false">[</mo><mi>P</mi></p><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>6</mn><mo>−</mo><mn>9</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>6</mn><mo>−</mo><mn>9</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p><mo>]</mo><mo>+</mo><mo>[</mo></p><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>5</mn><mo>−</mo><mn>6</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>5</mn><mo>−</mo><mn>6</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><mo stretchy="false">]</mo><mo>+</mo><mo stretchy="false">[</mo><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>4</mn><mo>−</mo><mn>5</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>4</mn><mo>−</mo><mn>5</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p><mo>]</mo><mo>+</mo><mo>[</mo></p><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>3</mn><mo>−</mo><mn>4</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>3</mn><mo>−</mo><mn>4</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><mo stretchy="false">]</mo><mo>+</mo><mo stretchy="false">[</mo><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>0</mn><mo>−</mo><mn>3</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>0</mn><mo>−</mo><mn>3</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p></p><p><mn>1</mn><mo>+</mo><mo stretchy="false">[</mo><mi>P</mi></p><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>6</mn><mo>−</mo><mn>9</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>6</mn><mo>−</mo><mn>9</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p><mo>]</mo><mo>+</mo><mo>[</mo></p><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>5</mn><mo>−</mo><mn>6</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>5</mn><mo>−</mo><mn>6</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><mo stretchy="false">]</mo><mo>+</mo><mo stretchy="false">[</mo><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>4</mn><mo>−</mo><mn>5</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>4</mn><mo>−</mo><mn>5</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p><mo>]</mo><mo>+</mo><mo>[</mo></p><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>3</mn><mo>−</mo><mn>4</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>3</mn><mo>−</mo><mn>4</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><mo stretchy="false">]</mo><mo>+</mo><mo stretchy="false">[</mo><mi>P</mi><p><mi>F</mi></p><p></p><p><mo>[</mo></p><p><mn>0</mn><mo>−</mo><mn>3</mn></p><mo>]</mo><p></p><p></p><p></p><mo>⋅</mo><p><mo>(</mo></p><p><mi>O</mi></p><p><mi>R</mi></p><p></p><p><mo>[</mo></p><p><mn>0</mn><mo>−</mo><mn>3</mn></p><mo>]</mo><p></p><p></p><p></p><mo>−</mo><mn>1</mn><p></p><mo>)</mo><p></p><p></p><p></p><mo>•</mo><mn>100</mn><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p>PAF=PopulationAtributableFraction</p><p></p><p></p><p>PF=Proportionofpopulationinthespecificexposurecategory</p><p></p><p></p><p>OR=Oddsratiofortheespecificexposurecategory</p><p></p><p></p><p></p><p></p><p></p><p><mrow></mrow></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p></p><p>³ Number of controls and cases that do not accomplish the specific recommendation.</p><p>⁴ OR per unit decrease (recommendation met vs not met). Adjusted for total calorie intake, smoking habit, age at first delivery, education, history of breast problems, family history of BC, menopausal status and score excluding the recommendation under study.</p><p>⁵ OR per unit decrease (recommendation met vs not met). Adjusted for total calorie intake, smoking habit, age at first delivery, education, history of breast problems, family history of BC and score excluding the recommendation under study.</p><p>Association of WCRF/AICR score and individual recommendations with breast cancer risk by menopausal status.</p

Distribution WCRF/AICR score and individual recommendations and other baseline characteristics for cases and controls.

<p>Distribution WCRF/AICR score and individual recommendations and other baseline characteristics for cases and controls.</p